Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 63,621 to 63,630 of 230,801 articles

Geographical origin authentication of whole garlic using 16S ribosomal RNA profiling of garlic microbiota and machine learning.

Food microbiology
Food fraud through false declarations of geographical origin poses major economic and regulatory challenges, particularly for commodities subject to trade restrictions or premium provenance labeling. Fresh garlic (Allium sativum L.), a globally trade... read more 

A genotype-phenotype transformer to assess and explain polygenic risk

bioRxiv
Genome-wide association studies have linked millions of genetic variants to biomedical phenotypes, but their utility has been limited by lack of mechanistic understanding and widespread epistatic interactions. Recently, Transformer models have emerge... read more 

Histological aging signatures enable tissue-specific disease prediction from blood

bioRxiv
Aging, the leading risk factor for numerous diseases, manifests through diverse structural and architectural changes in human tissues, providing an opportunity to quantify and interpret tissue-specific aging. To address this, we present a comprehensi... read more 

OpenDVP: An experimental and computational framework for community-empowered deep visual proteomics

bioRxiv
Deep visual proteomics (DVP) is an emerging approach for cell type-specific and spatially resolved proteomics. However, its broad adoption has been constrained by the lack of an open-source end-to-end workflow in a community-driven ecosystem. Here, w... read more 

NeuroSimo: an open-source software for closed-loop EEG- or EMG-guided TMS

bioRxiv
ObjectiveOur goal was to create open-source software for closed-loop EEG-TMS that allows researchers to rapidly prototype and develop novel stimulation paradigms in a high-level programming language. This addresses the limitations of current solution... read more 

Deployable high-fidelity metagenome binning at scale with QuickBin

bioRxiv
1Reconstructing genomes from metagenomic assemblies is foundational to microbiome research, yet metagenome binning remains constrained by a persistent trade-off between genome fidelity and deployable throughput. Many high-accuracy approaches rely on ... read more 

Beyond native sequence recovery: Improved modeling of thesequence-energy landscape of protein structures

bioRxiv
Computational protein design using machine learning models has advanced rapidly since the introduction of AlphaFold2. There is now a suite of tools that enable in silico design of proteins with desired structures and properties. Most design workflows... read more 

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEG

bioRxiv
Alcohol Use Disorder (AUD) is a prevalent and debilitating neuropsychiatric condition characterized by compulsive alcohol consumption, impaired control, and negative emotional states, affecting about 28 million adults in the United States. Despite it... read more 

The geometry of context-dependent biased decisions during learning

bioRxiv
Adaptive behavior requires inferring latent context and rapidly adjusting decisions in response to changing environmental contingencies. We investigated how reward context is learned, represented, and updated during decision making. We recorded large... read more 

High-dimensional spatial proteomics and novel machine learning pipeline identifies disease specific renal damage states

bioRxiv
Lupus nephritis (LuN) and renal allograft rejection (RAR) manifest inflammation and fibrosis that ultimately lead to kidney failure. To quantitatively assess spatial injury patterns, we collected high dimensional spatial proteomics data from 23 LuN, ... read more